Computer vision, IoT and data fusion for crop disease detection using machine learning: A survey and ongoing research
Crop diseases constitute a serious issue in agriculture, affecting both quality and quantity of
agriculture production. Disease control has been a research object in many scientific and …
agriculture production. Disease control has been a research object in many scientific and …
Assessment for crop water stress with infrared thermal imagery in precision agriculture: A review and future prospects for deep learning applications
Z Zhou, Y Majeed, GD Naranjo… - … and Electronics in …, 2021 - Elsevier
With the increasing global water scarcity, efficient assessment methods for crop water stress
have become a prerequisite to perform precision irrigation scheduling. The 1accessibility of …
have become a prerequisite to perform precision irrigation scheduling. The 1accessibility of …
Early detection of plant viral disease using hyperspectral imaging and deep learning
C Nguyen, V Sagan, M Maimaitiyiming… - Sensors, 2021 - mdpi.com
Early detection of grapevine viral diseases is critical for early interventions in order to
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …
Advances in plant disease detection and monitoring: From traditional assays to in-field diagnostics
I Buja, E Sabella, AG Monteduro, MS Chiriacò… - Sensors, 2021 - mdpi.com
Human activities significantly contribute to worldwide spread of phytopathological
adversities. Pathogen-related food losses are today responsible for a reduction in quantity …
adversities. Pathogen-related food losses are today responsible for a reduction in quantity …
[HTML][HTML] Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry
Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …
potential to provide the user with a more accurate scene understanding. This will enable …
Divergent abiotic spectral pathways unravel pathogen stress signals across species
Plant pathogens pose increasing threats to global food security, causing yield losses that
exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major …
exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major …
From remotely‐sensed solar‐induced chlorophyll fluorescence to ecosystem structure, function, and service: Part II—Harnessing data
Although our observing capabilities of solar‐induced chlorophyll fluorescence (SIF) have
been growing rapidly, the quality and consistency of SIF datasets are still in an active stage …
been growing rapidly, the quality and consistency of SIF datasets are still in an active stage …
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection
Rice blast is considered as the most destructive disease that threatens global rice
production and causes severe economic losses worldwide. A detection of rice blast infection …
production and causes severe economic losses worldwide. A detection of rice blast infection …
[HTML][HTML] Detection of symptoms induced by vascular plant pathogens in tree crops using high-resolution satellite data: Modelling and assessment with airborne …
Infection by the fungus Verticillium dahliae (Vd) and the bacterium Xylella fastidiosa (Xf)
threatens the production of olives (Olea europaea L.) and almonds (Prunus dulcis Mill.) …
threatens the production of olives (Olea europaea L.) and almonds (Prunus dulcis Mill.) …
Monitoring wheat powdery mildew based on hyperspectral, thermal infrared, and RGB image data fusion
Z Feng, L Song, J Duan, L He, Y Zhang, Y Wei, W Feng - Sensors, 2021 - mdpi.com
Powdery mildew severely affects wheat growth and yield; therefore, its effective monitoring is
essential for the prevention and control of the disease and global food security. In the …
essential for the prevention and control of the disease and global food security. In the …